Huang, Baihe

14 publications

ICML 2025 Sounding That Object: Interactive Object-Aware Image to Audio Generation Tingle Li, Baihe Huang, Xiaobin Zhuang, Dongya Jia, Jiawei Chen, Yuping Wang, Zhuo Chen, Gopala Anumanchipalli, Yuxuan Wang

NeurIPS 2024 Data Acquisition via Experimental Design for Data Markets Charles Lu, Baihe Huang, Sai Praneeth Karimireddy, Praneeth Vepakomma, Michael I. Jordan, Ramesh Raskar

ICLR 2024 On Representation Complexity of Model-Based and Model-Free Reinforcement Learning Hanlin Zhu, Baihe Huang, Stuart Russell

NeurIPS 2024 Stochastic Zeroth-Order Optimization Under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee

NeurIPS 2024 Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics Hanlin Zhu, Baihe Huang, Shaolun Zhang, Michael Jordan, Jiantao Jiao, Yuandong Tian, Stuart Russell

ICMLW 2023 Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning Baihe Huang, Sai Praneeth Karimireddy, Michael Jordan

AISTATS 2023 Optimal Sample Complexity Bounds for Non-Convex Optimization Under Kurdyka-Lojasiewicz Condition Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee

NeurIPS 2023 Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason Lee

NeurIPSW 2023 Towards Optimal Statistical Watermarking Baihe Huang, Banghua Zhu, Hanlin Zhu, Jason Lee, Jiantao Jiao, Michael Jordan

COLT 2022 Offline Reinforcement Learning with Realizability and Single-Policy Concentrability Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason Lee

ICLR 2022 Towards General Function Approximation in Zero-Sum Markov Games Baihe Huang, Jason D. Lee, Zhaoran Wang, Zhuoran Yang

ICML 2021 FL-NTK: A Neural Tangent Kernel-Based Framework for Federated Learning Analysis Baihe Huang, Xiaoxiao Li, Zhao Song, Xin Yang

NeurIPS 2021 Going Beyond Linear RL: Sample Efficient Neural Function Approximation Baihe Huang, Kaixuan Huang, Sham Kakade, Jason Lee, Qi Lei, Runzhe Wang, Jiaqi Yang

NeurIPS 2021 Optimal Gradient-Based Algorithms for Non-Concave Bandit Optimization Baihe Huang, Kaixuan Huang, Sham Kakade, Jason Lee, Qi Lei, Runzhe Wang, Jiaqi Yang